Tensorflow-Carla-Object-Detection
Object detector
A tool for training object detection classifiers using TensorFlow and Carla simulator data
8 stars
1 watching
2 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A labeled dataset for training object detection models in a virtual car environment | 45 |
| An application of object detection to simulate traffic signs/lights and cars in the Carla simulator environment | 5 |
| A TensorFlow-based implementation of the YOLO object detection algorithm for image classification and tracking. | 800 |
| A TensorFlow implementation of the YOLOv2 object detection algorithm | 97 |
| An implementation of the YOLO object detection algorithm using TensorFlow and pre-trained models. | 774 |
| A tool for detecting objects in images using deep learning models | 290 |
| An implementation of a deep learning model for object detection and segmentation in images | 292 |
| Real-time object detection using YOLO (You Only Look Once) algorithm implemented in TensorFlow. | 1,722 |
| A TensorFlow-based implementation of Faster R-CNN object detection using pre-trained ResNet networks and custom datasets. | 875 |
| A deep learning framework for object detection tasks using a novel neural network architecture | 355 |
| A deep learning framework for 3D object detection from RGB-D data | 1,598 |
| A Python interface to YOLO object detection software using Darknet | 27 |
| An evaluation framework for detecting object hallucinations in vision-language models | 187 |
| Lane detection algorithm for CARLA simulator using Python | 80 |
| Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |